High-sensitivity NH3 gas sensor using pristine graphene doped with CuO nanoparticles
A highly sensitive and selective NH 3 gas sensor was developed based on single-layer pristine graphene doped with copper(II) oxide (CuO) nanoparticles of a specific size. High-quality single-layer graphene was grown using chemical vapor deposition. Approximately 15 nm-sized CuO colloidal nanoparticl...
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Veröffentlicht in: | Mikrochimica acta (1966) 2023-04, Vol.190 (4), p.134-134, Article 134 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A highly sensitive and selective NH
3
gas sensor was developed based on single-layer pristine graphene doped with copper(II) oxide (CuO) nanoparticles of a specific size. High-quality single-layer graphene was grown using chemical vapor deposition. Approximately 15 nm-sized CuO colloidal nanoparticles were fabricated by a microwave-assisted thermal method using copper acetate as the precursor, and dimethylformamide as the reducing and stabilizing agent. Pristine graphene was doped with an aqueous suspension of CuO nanoparticles at a coating speed of 1500 rpm using a simple spin coater. CuO nanoparticle doping induces changes in the electronic properties of graphene; in particular,
p
-type doping significantly altered graphene resistivity in the presence of NH
3
gas. Upon exposure of the pristine graphene surface to NH
3
gas, NH
3
reacted with O
2
−
/ O
−
/ O
2−
species on the graphene surface and released electrons into graphene. This caused a change in the concentration of charge carriers in the valence channel of graphene and an increase in graphene resistivity, facilitating real-time NH
3
monitoring with quick response and rapid recovery at 25 ℃ and ~ 55% relative humidity. Our results indicated that graphene doped with ~ 15 nm-sized CuO nanoparticles can sense NH
3
gas selectively with a resistivity response of ~ 83%. Moreover, the sensor exhibited good reusability, fast response (~ 19 s), and rapid recovery (~ 277 s) with a detection limit of 0.041 ppm and a relative standard deviation of 0.76%.
Graphical Abstract |
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ISSN: | 0026-3672 1436-5073 |
DOI: | 10.1007/s00604-023-05717-y |